Two-stage Bayesian system identification using Gaussian discrepancy model
System identification aims at updating the model parameters (e.g., mass, stiffness) associated with the mathematical model of a structure based on measured structural response. In this process, a two-stage approach is commonly adopted. In Stage I, modal parameters including natural frequencies and m...
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語言: | English |
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2020
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在線閱讀: | https://hdl.handle.net/10356/143231 |
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